lspci | grep -i nvidia
(base) windmil@windmil-Inspiron-7472:~$ lspci | grep -i nvidia 01:00.0 3D controller: NVIDIA Corporation GP108M [GeForce MX150] (rev a1)
检查类型为 GeForce MX150
2 检查建议驱动版本ubuntu-drivers devices
(base) windmil@windmil-Inspiron-7472:~$ ubuntu-drivers devices WARNING:root:_pkg_get_support nvidia-driver-390: package has invalid Support Legacyheader, cannot determine support level == /sys/devices/pci0000:00/0000:00:1c.0/0000:01:00.0 == modalias : pci:v000010DEd00001D10sv00001028sd00000828bc03sc02i00 vendor : NVIDIA Corporation model : GP108M [GeForce MX150] manual_install: True driver : nvidia-driver-470-server - distro non-free driver : nvidia-driver-390 - distro non-free driver : nvidia-driver-418-server - distro non-free driver : nvidia-driver-460-server - distro non-free driver : nvidia-driver-450-server - distro non-free driver : nvidia-driver-470 - distro non-free recommended driver : nvidia-driver-460 - distro non-free driver : xserver-xorg-video-nouveau - distro free builtin
470版本是建议版本 nvidia-driver-470 - distro non-free recommended二 下载安装驱动 1 下载驱动
下载驱动页面
下载驱动，MX1500 笔记本驱动链接
https://us.download.nvidia.com/XFree86/Linux-x86_64/470.74/NVIDIA-Linux-x86_64-470.74.run
2 安装驱动 2.1禁用nouveausudo nano /etc/modprobe.d/blacklist.conf
在最后一行添加
blacklist vga16fb blacklist nouveau blacklist rivafb blacklist rivatv blacklist nvidiafb
更新内核,重启
sudo update-initramfs -u sudo reboot now
检测是否禁用成功
lsmod | grep nouveau
没有输出则关闭成功
2.2 删除原有NVIDIA驱动sudo apt-get --purge remove nvidia-* sudo apt-get --purge remove xserver-xorg-video-nouveau2.3 安装
这里开始会关闭图形界面。
禁用X服务
sudo service lightdm stop
按Ctrl+Alt+F1进入命令行界面（按Ctrl+Alt+F7可退出）
给run文件赋予执行权限
sudo chmod a+x NVIDIA-Linux-x86_64-470.74.run sudo ./NVIDIA-Linux-x86_64-470.74.run --no-x-check --no-nouveau-check --no-opengl-files
–no-x-check 安装驱动时关闭X服务
–no-nouveau-check 安装驱动时禁用nouveau
–no-opengl-files 只安装驱动文件，不安装OpenGL文件
安装过程
① 可能会出现提示The distribution-provided pre-install script failed are you sure you want to continue，没关系，继续进行
② Would you like to register the kernel module sources with DKMS?This will allow DKMS to auomatically build a new module,if you install a different kernel later，选择No
③ Nvidia’s 32-bit compatibility libraries，选择no即可
安装完成
sudo service lightdm start
重启后，输入以下命令
nvidia-smi三 安装CUDA 1 检查 驱动版本和CUDA版本关系
https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
驱动版本 470.74 所以可以安装 CUDA11
下载网站
wget https://developer.download.nvidia.com/compute/cuda/11.5.0/local_installers/cuda_11.5.0_495.29.05_linux.run sudo sh cuda_11.5.0_495.29.05_linux.run
此处不要安装驱动。
3 设置环境变量。检查CUDA安装位置
whereis cuda
(base) windmil@windmil-Inspiron-7472:~/software$ whereis cuda cuda: /usr/local/cuda
sudo nano ~/.bashrc
添加下面路径
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64 export PATH=$PATH:/usr/local/cuda/bin export CUDA_HOME=$CUDA_HOME:/usr/local/cuda
source ~/.bashrc
nvcc --version
如果显示下面的文子就说明安装成功了。
opencl包含在cuda里，只需配置一下即可。
包括两部分，
(1)确认：
1 opencl header -> /usr/local/include
将opencl头文件放入/usr/include
sudo cp -a /usr/local/cuda/include/CL /usr/local/include
2 opencl libray -> /usr/lib
将opencl库文件放入/usr/lib
sudo cp -a /usr/local/cuda/lib64/* /usr/lib
(2)修改/etc/ls.so.conf，在其中添加cuda lib路径
sudo nano /etc/ld.so.conf
在文件最后加入以下
/usr/local/cuda/lib64/
sudo echo ‘/usr/local/cuda-8.0/lib64/’ >> /etc/ld.so.conf
使之生效
sudo ldconfig五 安装pyopencl 1 安装aconda 2 在aconda 环境中安装
pip install pyopnecl
也可以用国内原
pip install pyopnecl -i https://pypi.tuna.tsinghua.edu.cn/simple
